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2020 – today
- 2022
[j249]Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. 54(8): 174:1-174:34 (2022)- [j248]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid attention-based transformer block model for distant supervision relation extraction. Neurocomputing 470: 29-39 (2022) - [j247]Qing Chen, Yaochu Jin, Yongduan Song:
Fault-tolerant adaptive tracking control of Euler-Lagrange systems - An echo state network approach driven by reinforcement learning. Neurocomputing 484: 109-116 (2022) - [j246]Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin:
Sparse-attentive meta temporal point process for clinical decision support. Neurocomputing 485: 114-123 (2022) - [j245]Dong Han, Wenli Du, Yaochu Jin, Wei Du, Guo Yu:
A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization. Inf. Sci. 597: 318-340 (2022) - [j244]Xihe Qiu
, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin:
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support. Knowl. Based Syst. 237: 107689 (2022) - [j243]Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems. Knowl. Based Syst. 240: 108197 (2022) - [j242]Tonghao Wang, Xingguang Peng, Yaochu Jin, Demin Xu:
Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning. Memetic Comput. 14(1): 3-17 (2022) - [j241]Wei Du, Wenjiang Song, Yang Tang, Yaochu Jin, Feng Qian:
Searching for Robustness Intervals in Evolutionary Robust Optimization. IEEE Trans. Evol. Comput. 26(1): 58-72 (2022) - [j240]Hangyu Zhu, Yaochu Jin:
Real-Time Federated Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26(2): 364-378 (2022) - [j239]Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng:
Ternary Compression for Communication-Efficient Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1162-1176 (2022) - [j238]Dan Guo, Xilu Wang, Kailai Gao, Yaochu Jin, Jinliang Ding, Tianyou Chai:
Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2084-2097 (2022) - [j237]Jianchang Liu, Yuanchao Liu, Yaochu Jin, Fei Li:
A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 3360-3375 (2022) - [i34]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Jingkuan Song, Yaochu Jin:
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis. CoRR abs/2201.08953 (2022) - [i33]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss. CoRR abs/2201.12589 (2022) - [i32]Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas:
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. CoRR abs/2202.06914 (2022) - [i31]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
A Survey of Cross-Modality Brain Image Synthesis. CoRR abs/2202.06997 (2022) - [i30]Xi Jiang, Guoyang Xie, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
A Survey of Visual Sensory Anomaly Detection. CoRR abs/2202.07006 (2022) - 2021
- [j236]Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen:
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions. Briefings Bioinform. 22(3) (2021) - [j235]Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(1): 18-20 (2021) - [j234]Handing Wang, Liang Feng, Yaochu Jin, John Doherty:
Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios. IEEE Comput. Intell. Mag. 16(1): 34-48 (2021) - [j233]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(2): 11-76 (2021) - [j232]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(3): 5-7, 94 (2021) - [j231]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(4): 14-16 (2021) - [j230]Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin:
[Guest Editorial]. IEEE Comput. Intell. Mag. 16(4): 17-18 (2021) - [j229]Ruochen Liu, Jianxia Li, Yaochu Jin, Licheng Jiao:
A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition. Evol. Comput. 29(4): 491-519 (2021) - [j228]Yicun Hua, Qiqi Liu, Kuangrong Hao, Yaochu Jin:
A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts. IEEE CAA J. Autom. Sinica 8(2): 303-318 (2021) - [j227]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Synergies between synaptic and intrinsic plasticity in echo state networks. Neurocomputing 432: 32-43 (2021) - [j226]Jia Liu, Yaochu Jin:
Multi-objective search of robust neural architectures against multiple types of adversarial attacks. Neurocomputing 453: 73-84 (2021) - [j225]Xiaojun Zhou, Jituo Tian, Jianpeng Long, Yaochu Jin, Guo Yu, Chunhua Yang:
A fast constrained state transition algorithm. Neurocomputing 455: 202-214 (2021) - [j224]Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning:
Distributed additive encryption and quantization for privacy preserving federated deep learning. Neurocomputing 463: 309-327 (2021) - [j223]Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin:
Federated learning on non-IID data: A survey. Neurocomputing 465: 371-390 (2021) - [j222]Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan E. Fieldsend, Yaochu Jin:
Non-dominated sorting on performance indicators for evolutionary many-objective optimization. Inf. Sci. 551: 23-38 (2021) - [j221]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger:
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. 227: 107190 (2021) - [j220]Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu:
A federated data-driven evolutionary algorithm. Knowl. Based Syst. 233: 107532 (2021) - [j219]Sutong Wang, Yunqiang Yin, Dujuan Wang, Zehui Lv, Yanzhang Wang, Yaochu Jin:
An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy. Knowl. Based Syst. 234: 107568 (2021) - [j218]Pengfei Huang, Handing Wang, Yaochu Jin:
Offline data-driven evolutionary optimization based on tri-training. Swarm Evol. Comput. 60: 100800 (2021) - [j217]Ataollah Ramezan Shirazi, Yaochu Jin:
Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation. IEEE Trans. Cogn. Dev. Syst. 13(4): 818-826 (2021) - [j216]Shuai Wang, Jing Liu, Yaochu Jin:
Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm. IEEE Trans. Cybern. 51(2): 900-912 (2021) - [j215]Ye Tian, Chang Lu, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks. IEEE Trans. Cybern. 51(6): 3115-3128 (2021) - [j214]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Trans. Cybern. 51(6): 3129-3142 (2021) - [j213]Ye Tian, Tao Zhang, Jianhua Xiao, Xingyi Zhang, Yaochu Jin:
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 25(1): 102-116 (2021) - [j212]Guo Yu, Yaochu Jin, Markus Olhofer:
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships. IEEE Trans. Evol. Comput. 25(1): 145-158 (2021) - [j211]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Trans. Evol. Comput. 25(2): 371-385 (2021) - [j210]Ye Tian, Ruchen Liu, Xingyi Zhang, Haiping Ma, Kay Chen Tan, Yaochu Jin:
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 25(3): 405-418 (2021) - [j209]Shuai Wang, Jing Liu, Yaochu Jin:
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization. IEEE Trans. Evol. Comput. 25(3): 419-432 (2021) - [j208]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(3): 448-462 (2021) - [j207]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. 25(4): 609-629 (2021) - [j206]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. 25(4): 630-650 (2021) - [j205]Shufen Qin, Chaoli Sun, Yaochu Jin, Ying Tan, Jonathan E. Fieldsend:
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. IEEE Trans. Evol. Comput. 25(4): 724-738 (2021) - [j204]Zhenshou Song, Handing Wang, Cheng He, Yaochu Jin:
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 25(6): 1013-1027 (2021) - [j203]Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah:
A Survey of Deep Learning Applications to Autonomous Vehicle Control. IEEE Trans. Intell. Transp. Syst. 22(2): 712-733 (2021) - [j202]Feng Qian, Yaochu Jin, Si-Zhao Joe Qin, Kai Sundmacher:
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3294-3295 (2021) - [j201]Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin:
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3552-3564 (2021) - [c164]Jiacheng Xu, Zhijun Fang, Yongbin Gao, Siwei Ma, Yaochu Jin, Heng Zhou, Anjie Wang:
Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression. DCC 2021: 379 - [c163]Yaochu Jin:
Multi-objective Evolutionary Federated Learning. IoTBDS 2021: 5 - [c162]Lucas Z. Bissaro, Yaochu Jin, Murillo G. Carneiro:
Regular echo state networks: simple and accurate reservoir models to real-world applications. SAC 2021: 1063-1069 - [i29]Yan Xiao, Yaochu Jin, Kuangrong Hao:
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification. CoRR abs/2101.03526 (2021) - [i28]Jia Liu, Yaochu Jin:
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks. CoRR abs/2101.06507 (2021) - [i27]Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu:
A Federated Data-Driven Evolutionary Algorithm. CoRR abs/2102.08288 (2021) - [i26]Guoyang Xie, Jinbao Wang, Guo Yu, Feng Zheng, Yaochu Jin:
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search. CoRR abs/2103.00363 (2021) - [i25]Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas:
Information Maximization Clustering via Multi-View Self-Labelling. CoRR abs/2103.07368 (2021) - [i24]Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin:
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics. CoRR abs/2105.10657 (2021) - [i23]Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin:
Federated Learning on Non-IID Data: A Survey. CoRR abs/2106.06843 (2021) - [i22]Jinjin Xu, Yaochu Jin, Wenli Du:
A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization. CoRR abs/2106.12086 (2021) - [i21]Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang:
PIVODL: Privacy-preserving vertical federated learning over distributed labels. CoRR abs/2108.11444 (2021) - [i20]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. CoRR abs/2108.13339 (2021) - 2020
- [j200]Sutong Wang, Yuyan Wang, Dujuan Wang, Yunqiang Yin, Yanzhang Wang, Yaochu Jin:
An improved random forest-based rule extraction method for breast cancer diagnosis. Appl. Soft Comput. 86 (2020) - [j199]Handing Wang, Yaochu Jin, Cuie Yang, Licheng Jiao:
Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm. Appl. Soft Comput. 92: 106276 (2020) - [j198]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(1): 19-21 (2020) - [j197]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(2): 11-13 (2020) - [j196]Shuai Wang, Jing Liu, Yaochu Jin:
Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Comput. Intell. Mag. 15(2): 24-35 (2020) - [j195]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(3): 12-14 (2020) - [j194]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(4): 5-7 (2020) - [j193]Yan Zhou, Yaochu Jin, Jinliang Ding:
Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. Neurocomputing 406: 12-23 (2020) - [j192]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. 519: 317-331 (2020) - [j191]Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng:
An affinity propagation clustering based particle swarm optimizer for dynamic optimization. Knowl. Based Syst. 195: 105711 (2020) - [j190]Yuanjun Huang, Yaochu Jin, Kuangrong Hao:
Decision-making and multi-objectivization for cost sensitive robust optimization over time. Knowl. Based Syst. 199: 105857 (2020) - [j189]Yang Chen, Yaochu Jin, Xiaoyan Sun:
Language model based interactive estimation of distribution algorithm. Knowl. Based Syst. 200: 105980 (2020) - [j188]Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin:
Multi-surrogate multi-tasking optimization of expensive problems. Knowl. Based Syst. 205: 106262 (2020) - [j187]Ye Tian, Shichen Peng, Xingyi Zhang, Tobias Rodemann, Kay Chen Tan, Yaochu Jin:
A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks. IEEE Trans. Artif. Intell. 1(1): 5-18 (2020) - [j186]Zhen Yang, Yongsheng Ding, Yaochu Jin, Kuangrong Hao:
Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Trans. Cybern. 50(1): 164-177 (2020) - [j185]Handing Wang, Yaochu Jin:
A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems. IEEE Trans. Cybern. 50(2): 536-549 (2020) - [j184]Xingyi Zhang, Kefei Zhou, Hebin Pan, Lei Zhang, Xiangxiang Zeng, Yaochu Jin:
A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks. IEEE Trans. Cybern. 50(2): 703-716 (2020) - [j183]Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin:
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Trans. Cybern. 50(3): 1106-1119 (2020) - [j182]Guo Yu, Yaochu Jin, Markus Olhofer:
Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Trans. Cybern. 50(8): 3531-3544 (2020) - [j181]Ye Tian, Xiutao Zheng, Xingyi Zhang, Yaochu Jin:
Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer. IEEE Trans. Cybern. 50(8): 3696-3708 (2020) - [j180]Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang:
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Trans. Evol. Comput. 24(2): 350-364 (2020) - [j179]Ye Tian, Xingyi Zhang, Chao Wang, Yaochu Jin:
An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24(2): 380-393 (2020) - [j178]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions. IEEE Trans. Evol. Comput. 24(3): 409-423 (2020) - [j177]Shuai Wang, Jing Liu, Yaochu Jin:
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Trans. Evol. Comput. 24(4): 735-749 (2020) - [j176]Celimuge Wu, Yaochu Jin, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir:
Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 202-205 (2020) - [j175]Adam Slowik, Krzysztof Cpalka, Yaochu Jin:
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1019-1022 (2020) - [j174]Hangyu Zhu, Yaochu Jin:
Multi-Objective Evolutionary Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1310-1322 (2020) - [j173]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1363-1374 (2020) - [j172]Yang Chen, Xiaoyan Sun, Yaochu Jin:
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4229-4238 (2020) - [j171]Li Huang, Yongsheng Ding, MengChu Zhou, Yaochu Jin, Kuangrong Hao:
Multiple-Solution Optimization Strategy for Multirobot Task Allocation. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4283-4294 (2020) - [c161]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. CEC 2020: 1-8 - [c160]Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. GECCO Companion 2020: 143-144 - [c159]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO 2020: 587-594 - [c158]Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen:
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. IJCNN 2020: 1-8 - [c157]Rahma Fourati, Boudour Ammar, Yaochu Jin, Adel M. Alimi:
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. IJCNN 2020: 1-8 - [c156]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
A Gated Recurrent Unit based Echo State Network. IJCNN 2020: 1-7 - [c155]Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin:
Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. PACBB 2020: 91-101 - [c154]Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin:
A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems. PPSN (1) 2020: 125-139 - [c153]Nitin Naik, Paul Jenkins, Roger Cooke, Jonathan Gillett, Yaochu Jin:
Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness. SSCI 2020: 1146-1153 - [p11]Tinkle Chugh, Chaoli Sun, Handing Wang, Yaochu Jin:
Surrogate-Assisted Evolutionary Optimization of Large Problems. High-Performance Simulation-Based Optimization 2020: 165-187 - [i19]Hangyu Zhu, Yaochu Jin:
Real-time Federated Evolutionary Neural Architecture Search. CoRR abs/2003.02793 (2020) - [i18]Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin:
Ternary Compression for Communication-Efficient Federated Learning. CoRR abs/2003.03564 (2020) - [i17]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction. CoRR abs/2003.11518 (2020) - [i16]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. CoRR abs/2003.11613 (2020) - [i15]